Role & responsibilities

Expert in developing and optimizing AI agents using Python, seamlessly integrating with cutting-edge APIs like OpenAI, Claude, and Azure AI Foundry to deliver advanced NLP solutions.

- Proven ability to design and implement Retrieval-Augmented Generation (RAG) workflows and apply sophisticated Prompt Engineering techniques that significantly enhance agent accuracy and contextual relevance.
- Skilled in building scalable, collaborative AI ecosystems using Multi-Agent Frameworks, LangGraph, LangChain, and AutoGen to orchestrate complex, multi-agent workflows efficiently.
- Experienced in developing and maintaining robust REST APIs that enable smooth integration of AI agents with diverse cloud platforms and third-party systems.
- Robust background in implementing comprehensive observability and monitoring frameworks to ensure high performance, reliability,



and maintainability of AI systems in cloud environments.
- Proficient in managing data with SQL databases and leveraging tools like Agent Core and GitHub for version control, collaboration, and accelerating the development of AI Code Assistants.

Role: Data Science & Analytics - Other, Industry Type: Financial Services, Department: Data Science & Analytics, Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: B.Tech / B.E. in Any Specialization, B.Sc in Any Specialization, B.C.A. in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills agentic AI GenAIMulti-agentRAGLLM

📌 AI Agent Developer - Senior Associate (Hyderabad)
🏢 PwC
📍 Hyderabad